.seigr File Format

The .seigr file (pronounced "dot-seigr") is the Symbiotic Environment of Interconnected Generative Records, forming the fundamental unit of structured, ethical, and adaptive data within the Seigr Ecosystem.

Each .seigr file encapsulates Seigr Cells, modular information units with a genetic-like data lineage, resilient replication, and self-healing properties. Through RE-L (Rebel Earthling License), every .seigr file inherits, enforces, and propagates ethical licensing at both the file and Seigr Cell levels.

This format is the foundation of the Seigr Protocol, ensuring that data remains decentralized, cryptographically verified, and ethically managed across the network.

Concept and Structure

The .seigr format combines biological principles, cryptographic hashing, and modular design to form an interconnected, evolving data ecosystem.

Capsule-Based Execution

Each .seigr file functions as a Seigr Capsule, operating within the Capsule Execution Layer (SCE). This ensures:

Immutable Capsule Integrity → Each .seigr file maintains self-contained execution logic, ensuring data lineage and cryptographic trust.
Multi-Path Hash Linking → Capsules interlink using primary and secondary hashes, ensuring resilience and non-linear data retrieval.

Seigr Cell Inheritance & RE-L Integration

Every .seigr file is composed of Seigr Cells—discrete, interlinked data units.
RE-L enforcement occurs at the Cell level, ensuring that every contribution retains its licensing, origin, and ethical metadata.
Like DNA sequences in biological organisms, Seigr Cells pass licensing rules through cryptographic linkage, ensuring immutable lineage tracking.

Generative & Adaptive Data Structure

Evolutionary Storage Model → Like biological cells storing and transmitting genetic information, .seigr files adapt to evolving network conditions.
RE-L Genetic Print → Every .seigr file inherits ethical constraints encoded into its Seigr Cells, ensuring indelible contributor attribution.

Seigr Protocol & Cryptographic Structure

The Seigr Protocol governs .seigr file behavior through a structured, self-verifiable data and execution framework.

Core Components

Seigr Metadata → Ensures each Seigr Cell retains distinct, traceable, and interoperable records.
Temporal Layering → Embeds time-indexed snapshots, enabling historical reconstruction & rollback.
Encoder/Decoder Module → Converts binary data into senary (base-6) encoding for energy-efficient processing.

RE-L Licensing Enforcement

Every .seigr file contains an immutable RE-L enforcement layer, ensuring:

Contributor Attribution → Every Seigr Cell retains RE-L metadata, permissions, and monetization rules.
Multi-Layer Lineage Tracking → Changes are cryptographically logged, preventing data corruption or unauthorized alteration.

Mathematical Structure: Multi-Path Hashing

Each .seigr file maintains multi-dimensional hash linking, ensuring fault tolerance and adaptive retrieval.

Let:

H(c) be the hash of a Seigr Cell c.
H'(c, t) represent the cryptographic lineage of c at time t.

Multi-path hash linking ensures: $H'(c,t)=H(c)\oplus H(c_{parent})\oplus H(t)$

Where:

H(c_parent) ensures cryptographic inheritance.
H(t) timestamps lineage evolution.

Binary-Senary Hybrid Execution & Sensory Tagging

The .seigr format integrates Seigr-native processing with legacy binary execution, preserving data lineage and RE-L governance.

Hybrid Execution

UBSB allows seamless execution of binary processes inside Seigr Capsules.
Binary Payload Encapsulation ensures non-native data can still inherit Seigr’s ethical and security principles.

Sensory-Based Processing

Sensory Metadata Tagging → .seigr files attach sensory-executable metadata, enabling AI-driven retrieval and pattern recognition.
Capsule-Based Sensory Abstraction Layer (CBSAL) → Facilitates context-aware Seigr-native AI interactions.

Key Features of .seigr Files

The .seigr format incorporates advanced resilience, modularity, and cryptographic security.

Key Features of .seigr Files
Feature	Description
Fixed Size (53,194 Bytes)	Standardized data capsule size ensures predictable replication & efficient retrieval.
Senary Encoding	Base-6 encoding minimizes energy usage, aligning with Seigr’s eco-conscious computing principles.
Primary & Secondary Hash Links	Ensures multi-path retrieval, fault tolerance, and non-linear execution tracking.
Demand-Based Replication	Capsules replicate based on real-time access patterns, ensuring optimal resource allocation.
IPFS Compatibility	.seigr files integrate with IPFS for decentralized redundancy.

Adaptive Replication & Self-Healing

Biologically-Inspired Replication

Like neural networks adjusting synaptic strength, .seigr capsules replicate adaptively based on demand & access frequency.

Let:

A be the capsule access rate.
R be its redundancy factor.
S be its security classification.

The probability of replication follows: $P_{replicate}={\frac {A}{R+S}}$

Self-Healing & Integrity Enforcement

If corruption is detected:

Multi-Path Hash Recovery → Capsules rebuild from alternative hash references.
Dynamic Regeneration → Seigr Cells self-reconstruct by cross-verifying with parent nodes.

Node Identity & Trust-Based Execution

Each .seigr file is bound to Seigr's cryptographic identity model, ensuring trusted execution.

Node Identity & Trust-Based Execution
Security Feature	Description
Hardware-Bound Cryptographic Signatures	Prevents unauthorized execution outside verified Seigr nodes.
Network-Wide Trust Enforcement	Execution lineage tracking prevents unauthorized capsule replication.
Seigr Hardware Identity Layer (SHIL)	Automatically authenticates and validates all .seigr executions.

RE-L Genetic Print & Contribution Unit (CU) Tracking

Inherited RE-L Licensing at Every Level

Each Seigr Cell inside a .seigr file retains:

Immutable Contribution Units (CUs) that track creator attributions, role definitions, and licensing metadata.
Adaptive Contribution Units (ACUs) for layered modifications without altering core lineage.
RE-L Automated Enforcement → Unauthorized licensing changes trigger Hyphen Network validation.

Mathematically: $L_{inherit}=L_{parent}\oplus H(CU)\oplus H(ACU)$ where:

L_{inherit} is inherited licensing.
H(CU) enforces Contribution Unit rules.
H(ACU) tracks modifications.

Conclusion

The .seigr format redefines digital integrity through modular evolution, ethical governance, and cryptographic enforcement. Every .seigr file is a living, interwoven data entity, inheriting RE-L like genetic markers to ensure a sustainable, decentralized, and ethically governed future.